Research Article
Practical Method for Evaluating the Performance of a Biometric Algorithm
@INPROCEEDINGS{10.1007/978-3-030-05198-3_11, author={Tahirou Djara and Abdou-Aziz Sobabe and Macaire Agbomahena and Antoine Vianou}, title={Practical Method for Evaluating the Performance of a Biometric Algorithm}, proceedings={Emerging Technologies for Developing Countries. Second EAI International Conference, AFRICATEK 2018, Cotonou, Benin, May 29--30, 2018, Proceedings}, proceedings_a={AFRICATEK}, year={2018}, month={12}, keywords={Biometrics Performance evaluation Biometric algorithm Genuine Matching (GM) Impostor Matching (IM) False Match Rate (FMR) False Non Match Rate (FNMR) Receiver Operating Characteristic (ROC) Modality-independent}, doi={10.1007/978-3-030-05198-3_11} }- Tahirou Djara
Abdou-Aziz Sobabe
Macaire Agbomahena
Antoine Vianou
Year: 2018
Practical Method for Evaluating the Performance of a Biometric Algorithm
AFRICATEK
Springer
DOI: 10.1007/978-3-030-05198-3_11
Abstract
This paper presents a modality-independent method of evaluating the performance of an algorithm in biometrics. The operation mode is about developing a JAVA application that offers the user a graphical representation of the evaluation results. This application is interacting with a MySQL database containing the extracted signatures as well as the matching values of the modalities present in the evaluated biometric system. The evaluation system is used to generate the Genuine Matching and Impostor Matching score distribution curves, the False Match Rate and False Non Match Rate curves and the ROC curve. 1000 lines of code were used to develop the application. The method proposed is original and practical. Thus, an application of this method has been made in the case of a contactless fingerprint modality. We plan to improve the developed method by adding the representation of 4 main operating points (EER, WER, Fixed FMR, Fixed FNMR).
